class_docstr: Deterministic/Degenerate distribution.
  Parameters
  ----------
  value
      Tensor containing the values, of shape `(*batch_shape, *event_shape)`.
  F
code: def stddev(self) -> Tensor:
      return self.value.zeros_like()
  
imports: from typing import Dict, List, Optional, Tuple, Type
  import mxnet
  import numpy
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .distribution import Distribution, _sample_multiple, getF
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 8 for calling the Deterministic obj's underlying member method code with example usage: obj.stddev() and returns: self